Python OpenCV – Depth map from Stereo Images

OpenCV is the huge open-source library for the computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems.

Note: For more information, refer to Introduction to OpenCV

Depth Map : A depth map is a picture where every pixel has depth information(rather than RGB) and it normally represented as a greyscale picture. Depth information means the distance of surface of scene objects from a viewpoint. An example of pixel value depth map can be found here : Pixel Value Depth Map using Histograms

Stereo Images : Two images with slight offset. For example, take a picture of an object from the center. Move your camera to your right by 6cms while keeping the object at the center of the image. Look for the same thing in both pictures and infer depth from the difference in position. This is called stereo matching. To have best results, avoid distortions.


  • Collect or take stereo images.
  • Import OpenCV and matplotlib libraries.
  • Read both left and right images.
  • Calculate disparity using stereo.compute.

Example :

Sample Images:







# import OpenCV and pyplot 
import cv2 as cv
from matplotlib import pyplot as plt
# read left and right images
imgR = cv.imread('right.png', 0)
imgL = cv.imread('left.png', 0)
# creates StereoBm object 
stereo = cv.StereoBM_create(numDisparities = 16,
                            blockSize = 15)
# computes disparity
disparity = stereo.compute(imgL, imgR)
# displays image as grayscale and plotted
plt.imshow(disparity, 'gray')



Disparity Map Output

My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

Be the First to upvote.

Please write to us at to report any issue with the above content.